John W. Fisher III

John W. Fisher III

Massachusetts Institute of Technology

H-index: 47

North America-United States

About John W. Fisher III

John W. Fisher III, With an exceptional h-index of 47 and a recent h-index of 27 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of machine learning, sensor networks, computer vision, statistical signal processing, applied statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Robotic planning under uncertainty in spatiotemporal environments in expeditionary science

CPU-and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis

How probabilistic electricity demand forecasts can expedite universal access to clean and reliable electricity

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Motion sensing wi-fi sensor networks for continuous 3D modeling and prediction of facility responses to disturbances

A data fusion approach to optimize compositional stability of halide perovskites

John W. Fisher III Information

University

Position

Senior Research Scientist

Citations(all)

9940

Citations(since 2020)

2563

Cited By

9194

hIndex(all)

47

hIndex(since 2020)

27

i10Index(all)

133

i10Index(since 2020)

57

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

John W. Fisher III Skills & Research Interests

machine learning

sensor networks

computer vision

statistical signal processing

applied statistics

Top articles of John W. Fisher III

Title

Journal

Author(s)

Publication Date

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

Kedar Hippalgaonkar

Qianxiao Li

Xiaonan Wang

John W Fisher III

James Kirkpatrick

...

2023/4

DeepDeg: Forecasting and explaining degradation in novel photovoltaics

Felipe Oviedo

David S Hayden

Thomas Heumeuller

Jonas Wortmann

Jose Dario Perea

...

2023/3/27

Robotic planning under uncertainty in spatiotemporal environments in expeditionary science

arXiv preprint arXiv:2206.01364

Victoria Preston

Genevieve Flaspohler

Anna PM Michel

John W Fisher III

Nicholas Roy

2022/6/3

CPU-and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis

arXiv preprint arXiv:2204.08988

Or Dinari

Raz Zamir

John W Fisher III

Oren Freifeld

2022/4/19

How probabilistic electricity demand forecasts can expedite universal access to clean and reliable electricity

Energy for Economic Growth

Stephen J Lee

Dhruv Suri

Priyanshi Somani

Christopher L Dean

Jason Pacheco

...

2021

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

npj Computational Materials

Qiaohao Liang

Aldair Gongora

Zekun Ren

Armi Tiihonen

Zhe Liu

...

2021/11/18

Motion sensing wi-fi sensor networks for continuous 3D modeling and prediction of facility responses to disturbances

2021/5/4

A data fusion approach to optimize compositional stability of halide perovskites

Matter

Shijing Sun

Armi Tiihonen

Felipe Oviedo

Zhe Liu

Janak Thapa

...

2021/4/7

Belief-dependent macro-action discovery in POMDPs using the value of information

Advances in Neural Information Processing Systems

Genevieve Flaspohler

Nicholas A Roy

John W Fisher III

2020

Sequential bayesian experimental design with variable cost structure

Advances in Neural Information Processing Systems

Sue Zheng

David Hayden

Jason Pacheco

John W Fisher III

2020

Lightweight Data Fusion with Conjugate Mappings

arXiv preprint arXiv:2011.10607

Christopher L. Dean

Stephen J. Lee

Jason Pacheco

John W. Fisher III

2020

Nonparametric object and parts modeling with lie group dynamics

David S Hayden

Jason Pacheco

John W Fisher

2020

Efficient Data Association and Uncertainty Quantification for Multi-Object Tracking

arXiv preprint arXiv:2011.07101

David S Hayden

Sue Zheng

John W Fisher III

2020/11/13

Bridging the gap between photovoltaics R&D and manufacturing with data-driven optimization

arXiv preprint arXiv:2004.13599

Felipe Oviedo

Zekun Ren

Xue Hansong

Siyu Isaac Parker Tian

Kaicheng Zhang

...

2020/4/28

Methods for labeling and manipulating a cellular circuit

2020/4/14

See List of Professors in John W. Fisher III University(Massachusetts Institute of Technology)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 148
Ron Kikinis

Ron Kikinis

Harvard University

H-index: 101
Alan S. Willsky

Alan S. Willsky

Massachusetts Institute of Technology

H-index: 96
jose principe

jose principe

University of Florida

H-index: 81
Eric Grimson

Eric Grimson

Massachusetts Institute of Technology

H-index: 68
William M. Wells III (Sandy)

William M. Wells III (Sandy)

Harvard University

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